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Compa is a venture-backed SaaS startup revolutionizing the future of compensation.
In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams.
Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI.
Our customers include the world’s biggest companies: Apple, NVIDIA, Tesla, Mastercard, T-Mobile, Sanofi, Moderna, Gilead Sciences, and more.
At Compa, we’re building the future of enterprise compensation. Our platform helps the world’s largest companies make smarter, fairer, and more transparent pay decisions—powered by live data and thoughtful design.
As a Software Engineer, you’ll have significant ownership and autonomy to build the systems and infrastructure that power Compa’s core products. You’ll work across the stack, collaborate closely with product and design, and contribute to features that directly impact enterprise customers.
Ship production-grade software across Compa’s web app and backend systems
Build new features and improve existing workflows in collaboration with Product and Design
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, USA
About Compa Compa is a venture-backed AI startup revolutionizing the future of compensation! We're bringing AI-forward tools and human-centered engineering to make pay competitive and fair, for all. By offering a premier
Write clean, scalable code and contribute to system architecture decisions
Participate in code reviews, team rituals, and roadmap discussions
Solve real problems for enterprise compensation teams—from data pipelines to user experience
You don’t need experience with all of these, but familiarity with any is a plus:
Backend : Django, Python
Frontend : React, TypeScript, GraphQL
Infrastructure : AWS
Other Tools : vLLM, Linear, Slack, Notion, Metabase
#BI-Remote
AI compensation intelligence platform serving enterprise teams with live market data and automated pay-decision analysis.
Visit company websiteJobs and hiring trendsUSD 120000-175000 yearly / year
Full-time
Mid · 2+ years experience
Remote
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